Tolansky干涉图像系列圆环半径自动识别方法研究OACHSSCD

Aims:To meet the high-precision extraction requirements of interference ring radii and realize automatic identification of interference ring parameters in Tolansky interference experiments for end-face thickness measurement,an automatic high-precision extraction method for interference ring radii was proposed.Methods:First,Gaussian blur filtering was used to suppress image noise.Next,adaptive binarization was used to segment the ring regions.Finally,stripe thinning combined with the Hough transform was employed to automatically extract the radii of the concentric rings from Tolansky interferograms.Simulated images and experimental images were used separately to verify the effectiveness of the proposed method.Results:The results showed that the proposed method had better noise suppression performance that was the recognition results of both simulated non-noisy images and noisy images have the same relative error of 0.21%.Taking measurements from a universal tool microscope as the benchmark,the relative error of ring radii obtained by the proposed method was±0.41%,indicating favorable consistency between the two groups of data.Conclusions:The proposed method can automatically and accurately identify the radii of a series of Tolansky interference rings with high precision under preset radius values.